Example Concept: AI-driven color grading involves using machine learning algorithms to analyze the color composition of video frames and apply adjustments that enhance visual aesthetics. This can include balancing color tones, adjusting brightness and contrast, and matching colors across different scenes to maintain consistency. AI tools can learn from a reference style or use pre-trained models to automate these adjustments, reducing the manual effort required in traditional color grading workflows.